Neural networks in tabular preset (feature pipelines, models, tuning utils, grad clipping for regularization)
Tutorial for nn and link for Kaggle competition
Loss on logits for linear model (fixes sb-ai-lab/LightAutoML/issues/75)
Fixes
kfold and reader seeds - if the sample (100k) is less than the number of observations per fold, then it samples the observations from only one fold (since folds are sorted). So the multiclass (and multioutput) target encoder with division by zero falls.
Additions
Fixes
automl.fit_predict